Careers@Penn

RESEARCH SPECIALIST B

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The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning.

Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.

School/Center Overview

Penn Engineering’s world-acclaimed faculty, state-of-the-art research laboratories and highly interdisciplinary curricula offer an experience that is unparalleled. Innovation and technology drive every program and transform the fundamentals of what future engineers are learning. http://www.seas.upenn.edu/

Duties

Reporting to Dr. Danielle Bassett, the position will provide research support to the Complex Systems Laboratory group in the form of assisting with IRB application, scanning human subjects in the MRI scanner, and performing data analysis and primary research, along with producing scientific research articles on the work.

Position is contingent on continued grant funding.

Qualifications

A Bachelor’s Degree and 1 year to 2 years of experience or equivalent combination of education and experience in bioengineering or related field, are required. Familiarity with MATLAB, python, R, or other coding languages for data analysis required.